AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Le Lézard

Azul 2026 State of Java Survey & Report: 62% of Enterprises Now Leverage Java to Power AI Functionality, 41% Rely on High-Performance Java Platforms to Reduce Cloud Compute Costs

Azul, the only company 100% focused on Java, today announced the results of its 2026 State of Java Survey & Report. The annual study, based on responses from more than 2,000 Java professionals ...
GitHub

AI-driven Java Performance Testing: Balancing Result Quality with Testing Time

The dataset utilized in this paper is introduced in https://doi.org/10.1007/s10664-022-10247-x. It includes performance measurements from 500+ JMH microbenchmarks ...
IEEE

An Overview of Performance Analysis and Optimization in Coexisting Satellites and Future Terrestrial Networks

Abstract: The existing radio frequency band is overcrowded and will soon be unable to accommodate the growing demand for greater data rate services. Consequently, considerable efforts are being ...
IEEE

Machine Learning-Driven Optimization of Transport Layers in MAPbI₃ Perovskite Solar Cells for Enhanced Performance

Abstract: This study aims to analyse the performance of MAPbI3-based perovskite solar cells (PSCs) by integrating machine learning (ML) models with the SCAPS-1D simulator. An extensive dataset of ...